Carlos Becerra
- Oncology top 2%
- Colorectal Cancer Treatments and Studies 20
- Pancreatic and Hepatic Oncology Research 16
- Cancer Treatment and Pharmacology 14
- Cancer Immunotherapy and Biomarkers 12
- HER2/EGFR in Cancer Research 10
- Cancer Research top 5%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 9
- Immunology top 10%
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- Gastric Cancer Management and Outcomes 9
- Lung Cancer Treatments and Mutations 9
- Co-authors
- Udit VermaRichard B. GaynorEugene P. FrenkelRama Mohan SurabhiRazelle KurzrockHoward A. BurrisJeffrey R. InfanteMichael S. Gordon
- Journals
- Journal of Clinical Oncology (39 papers)Cancer Chemotherapy and Pharmacology (6 papers)Annals of Oncology (5 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Carlos Becerra
92 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Oncology 1.1k
- Cancer Research 379
- Molecular Biology 1.4k
- Immunology 400
- Pathology and Forensic Medicine 267
Countries citing papers authored by Carlos Becerra
This map shows the geographic impact of Carlos Becerra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carlos Becerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Becerra more than expected).
Fields of papers citing papers by Carlos Becerra
This network shows the impact of papers produced by Carlos Becerra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carlos Becerra. The network helps show where Carlos Becerra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos Becerra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 47 | |
| 5 | 2019 | 7 | |
| 6 | 2019 | 4 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 33 | |
| 10 | 2016 | 21 | |
| 11 | 2013 | 14 | |
| 12 | Safety, pharmacokinetic, pharmacodynamic, and efficacy data for the oral MEK inhibitor trametinib: a phase 1 dose-escalation trialbreakdown → | 2012 | 424 |
| 13 | 2010 | 225 | |
| 14 | 2009 | 43 | |
| 15 | 2005 | 56 | |
| 16 | 2003 | 50 | |
| 17 | 2003 | 49 | |
| 18 | 2000 | 15 | |
| 19 | 1998 | 28 | |
| 20 | 1997 | 27 |
About Carlos Becerra
Carlos Becerra is a scholar working on Oncology, Toxicology and Cancer Research, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (20 papers), Pancreatic and Hepatic Oncology Research (16 papers), Cancer Treatment and Pharmacology (14 papers), Cancer Immunotherapy and Biomarkers (12 papers), HER2/EGFR in Cancer Research (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Gastric Cancer Management and Outcomes (9 papers) and Lung Cancer Treatments and Mutations (9 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (379 citations) and Molecular Biology (1.4k citations). Carlos Becerra has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Udit Verma, Richard B. Gaynor, Eugene P. Frenkel, Rama Mohan Surabhi, Razelle Kurzrock, Howard A. Burris, Jeffrey R. Infante, Michael S. Gordon, Donna S. Cox and Keith T. Flaherty. Their work appears in journals such as Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology, Annals of Oncology, Clinical Cancer Research and Investigational New Drugs.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.